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This is a Quantitative Study study.

October 23, 2025BMC BioinformaticsOpen Access

MultiModalGraphics: an R package for graphical integration of multi-omics datasets

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Authors

FMFoziya Ahmed MohammedWolkite University EFEl Hadj Malick FallScience Systems and Applications (United States)KTKula Kekeba TuneAddis Ababa Science and Technology University

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Implication

A new R package presents case studies showing capabilities in differential expression analysis for high-dimensional biological data, indicating enhanced quantitative interpretations.

Key Points

High-dimensional biological data can be effectively visualized using the R package MultiModalGraphics, leading to better analysis outcomes.
Case studies demonstrate its utility in integrating p-values and q-values within visualizations of complex datasets.
The package streamlines differential expression analysis by allowing seamless annotations in scatterplots and heatmaps.
MultiModalGraphics is interoperable with key Bioconductor packages, enhancing its functionality and application in biological research.

Cite This Study

Mohammed et al. (2025) studied this question.

synapsesocial.com/papers/68fa32a40df2e6cd2f74227f https://doi.org/10.1186/s12859-025-06265-3

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Implication

A new R package presents case studies showing capabilities in differential expression analysis for high-dimensional biological data, indicating enhanced quantitative interpretations.

MultiModalGraphics: an R package for graphical integration of multi-omics datasets

Discussion

Member takes

Implication

Key Points

Cite This Study

MultiModalGraphics: an R package for graphical integration of multi-omics datasets

Discussion

Member takes

Implication

Key Points

Cite This Study

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